Results 61 to 70 of about 131 (110)

Identification of Priority Areas for the Control of Soil Erosion and the Influence of Terrain Factors Using RUSLE and GIS in the Caeté River Basin, Brazilian Amazon

Earth
Soil erosion poses a significant global environmental challenge, causing land degradation, deforestation, river siltation, and reduced agricultural productivity. Although the Revised Universal Soil Loss Equation (RUSLE) has been widely applied in Brazil,
Alessandra dos Santos Santos, João Fernandes da Silva Júnior, Lívia da Silva Santos, Rômulo José Alencar Sobrinho, Eduarda Cavalcante Amorim, Gabriel Siqueira Tavares Fernandes, Elania Freire da Silva, Thieres George Freire da Silva, João L. M. P. de Lima, Alexandre Maniçoba da Rosa Ferraz Jardim   +9 more
doaj   +1 more source

Simulating water dynamics related to pedogenesis across space and time: Implications for four-dimensional digital soil mapping

Geoderma
Digital soil mapping (DSM) relies on machine-learning and geostatistics to represent soil property observations across space. DSM techniques are powerful but often empirical, being limited to the quality and density of point samples.
Phillip R. Owens, Marcelo Mancini, Edwin H. Winzeler, Quentin Read, Ning Sun, Joshua Blackstock, Zamir Libohova   +6 more
doaj   +1 more source

Bayesian approach for sample size determination, illustrated with Soil Health Card data of Andhra Pradesh (India). [PDF]

Geoderma, 2022
Brus DJ, Kempen B, Rossiter D, Balwinder-Singh, McDonald AJ.   +4 more
europepmc   +1 more source

Errors in soil maps: The need for better on-site estimates and soil map predictions. [PDF]

PLoS One, 2023
Buenemann M, Coetzee ME, Kutuahupira J, Maynard JJ, Herrick JE.   +4 more
europepmc   +1 more source

The problematic case of data leakage: A case for leave-profile-out cross-validation in 3-dimensional digital soil mapping

Geoderma
Data leakage occurs when there is an overlap between the data used for model fitting and hyperparameter tuning, and those used for testing. This overlap biases the model performance, making it uninformative regarding the model’s ability to generalize ...
Kingsley John, Daniel D. Saurette, Brandon Heung   +2 more
doaj   +1 more source

Validating the regional estimates of changes in soil organic carbon by using the data from paired-sites: the case study of Mediterranean arable lands. [PDF]

Carbon Balance Manag, 2021
Schillaci C, Saia S, Lipani A, Perego A, Zaccone C, Acutis M.   +5 more
europepmc   +1 more source

AlradSpectra: a Quantification Tool for Soil Properties Using Spectroscopic Data in R

Revista Brasileira de Ciência do Solo
Soil reflectance spectroscopy has become an innovative method for soil property quantification supplying data for studies in soil fertility, soil classification, digital soil mapping, while reducing laboratory time and applying a clean technology.
André Carnieletto Dotto, Ricardo Simão Diniz Dalmolin, Alexandre ten Caten, Diego José Gris, Luis Fernando Chimelo Ruiz   +4 more
doaj   +1 more source

The roles of sampling depth, lateral profile density and vertical sampling density in 3D digital soil mapping of soil organic carbon

Geoderma
Sampling density and depth play crucial roles in three-dimensional (3D) soil modeling and prediction, particularly in digital soil mapping (DSM). However, previous studies have yielded inconsistent and even contradictory results regarding impacts of ...
Mei-Wei Zhang, Xiao-Lin Sun, Xiao-Qing Wang, Hua-Lei Yang, Hui-Li Wang, Zhi-Gang Huang, Dai-Hua Jiang, Yun-Jin Wu   +7 more
doaj   +1 more source

Spatial variability of urban forest topsoil properties: towards representative and robust sampling design. [PDF]

Open Res Eur, 2021
Galle N, Brinton W, Vos R, Duarte F, Collier M, Ratti C, Pilla F.   +6 more
europepmc   +1 more source

Measuring in situ soil carbon stocks: A study using a novel handheld VisNIR probe

Geoderma
To be commercially viable, soil carbon project developers need to be able to measure soil carbon stocks across large scales (e.g., 100,000 to 1,000,000 ha). These measurements need to be accurate, unbiased, inexpensive, and fast.
Ayush Joshi Gyawali, Marissa Wiseman, Jason P. Ackerson, Sarah Coffman, Kevin Meissner, Cristine L.S. Morgan   +5 more
doaj   +1 more source